The Caching and Pricing Strategy for Information-Centric Networking with Advertisers’Participation  

作　　者：Zheng Quan Yan Wenliang Wu Rong Tan Xiaobin Yang Jian Yuan Liu Xu Zhenghuan 

机构地区：[1]Laboratory for Future Networks,Department of Automation,University of Science and Technology of China,Hefei 230026,China [2]Institute of Artificial Intelligence,Hefei Comprehensive National Science Center,Hefei 230088,China [3]Institute of Advanced Technology,University of Science and Technology of China,Hefei 230088,China [4]Suzhou Nuclear Power Research Institute,Suzhou 215004,China [5]National Engineering Laboratory for Public Safety Risk Perception and Control by Big Data(NEL-PSRPC),China Academy of Electronics and Information Technology of CETC,Beijing 100041,China

出　　处：《China Communications》2024年第3期283-295,共13页中国通信（英文版）

基　　金：supported by the Key R&D Program of Anhui Province in 2020 under Grant No.202004a05020078;China Environment for Network Innovations(CENI)under Grant No.2016-000052-73-01-000515.

摘　　要：As users’access to the network has evolved into the acquisition of mass contents instead of IP addresses,the IP network architecture based on end-to-end communication cannot meet users’needs.Therefore,the Information-Centric Networking(ICN)came into being.From a technical point of view,ICN is a promising future network architecture.Researching and customizing a reasonable pricing mechanism plays a positive role in promoting the deployment of ICN.The current research on ICN pricing mechanism is focused on paid content.Therefore,we study an ICN pricing model for free content,which uses game theory based on Nash equilibrium to analysis.In this work,advertisers are considered,and an advertiser model is established to describe the economic interaction between advertisers and ICN entities.This solution can formulate the best pricing strategy for all ICN entities and maximize the benefits of each entity.Our extensive analysis and numerical results show that the proposed pricing framework is significantly better than existing solutions when it comes to free content.

关 键 词：ADVERTISERS CACHE free content Information-Centric Networking pricing strategy 

分 类 号：TP393.02[自动化与计算机技术—计算机应用技术]